Identification of facts of reporting falsifications. Russian and foreign method

Abstract

The article examines the application of models for identifying possible facts of falsification using Russian and foreign companies in the oil and gas industry as an example. Three Russian and three foreign big companies were selected as a base for the research.
For the purposes of the study, the five- and eight-component M-score model proposed by Professor Messod Beneish and the model by R. Kanapikne and J. Grundene are used. As an alternative, the article considers a research in which the authors propose to make additions to the classical Beneish model in accordance with modern realities. As a supplement, the authors propose to introduce eight additional components: the dynamics of the ratio of commercial to administrative expenses, the dynamics of the share of net profit in gross profit, the dynamics of the ratio of net profit to commercial and administrative expenses, the dynamics of the financing ratio, the dynamics of the investment ratio, the region of activity, the All-Russian classifier of types of economic activities, accounts payable turnover at times. The results of the research showed that for greater reliability of revealing the facts of falsification, it is advisable to use several models in view of the impossibility of creating a universal model for all sectors of the economy and types of activity.